[HTML][HTML] Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Sco** Review
Background The rapid advancement of digital technologies, particularly in big data analytics
(BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is …
(BDA), artificial intelligence (AI), machine learning (ML), and deep learning (DL), is …
Artificial Intelligence approaches for Predicting Hypertension Diseases: Open Challenges and Research Issues
Despite improved therapies and decades of research over the last century, hypertension
remained the world's leading avoidable cause of death. Machine learning (ML) is a subfield …
remained the world's leading avoidable cause of death. Machine learning (ML) is a subfield …
Status and trends of the association between diabetic nephropathy and diabetic retinopathy from 2000 to 2021: Bibliometric and visual analysis
W Lin, Y Luo, F Liu, H Li, Q Wang, Z Dong… - Frontiers in …, 2022 - frontiersin.org
Background: Diabetic nephropathy (DN) and diabetic retinopathy (DR) are microvascular
complications of diabetes that share a similar pathogenesis and clinical relevance. The …
complications of diabetes that share a similar pathogenesis and clinical relevance. The …
Interpretable machine learning models for detecting peripheral neuropathy and lower extremity arterial disease in diabetics: an analysis of critical shared and unique …
Y Wu, D Dong, L Zhu, Z Luo, Y Liu, X **e - BMC Medical Informatics and …, 2024 - Springer
Background Diabetic peripheral neuropathy (DPN) and lower extremity arterial disease
(LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect …
(LEAD) are significant contributors to diabetic foot ulcers (DFUs), which severely affect …
Prediction of micro vascular and macro vascular complications in type-2 diabetic patients using machine learning techniques
A collection of metabolic conditions known as diabetes mellitus are defined by
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …
hyperglycemia brought on by deficiencies in insulin secretion, action, or both. In terms of …
[HTML][HTML] Risk of Microvascular Complications in Newly Diagnosed Type 2 Diabetes Patients Using Automated Machine Learning Prediction Models
Background/Objectives: In type 2 diabetes (T2D), collective damage to the eyes, kidneys,
and peripheral nerves constitutes microvascular complications, which significantly affect …
and peripheral nerves constitutes microvascular complications, which significantly affect …
Detection of microvascular disease in Type-2 diabetes mellitus patients using White Shark assisted Extreme Gradient Boosted model
About half population of the world is affected by various diseases, and diabetes is very
common among them. Type-2 Diabetes Mellitus is one form of diabetes which can cause …
common among them. Type-2 Diabetes Mellitus is one form of diabetes which can cause …
Clinical Research on Type 2 Diabetes: A Promising and Multifaceted Landscape
F Gómez-Peralta, C Abreu - Journal of Clinical Medicine, 2022 - mdpi.com
Type 2 diabetes constitutes an imposing epidemiological, economic, and scientific global
challenge. The chronic complications of type 2 diabetes are a major cause of mortality and …
challenge. The chronic complications of type 2 diabetes are a major cause of mortality and …
[PDF][PDF] Predicting Microvascular Complications in Diabetic Mellitus Using Improved Enhanced Coati Optimizer
Diabetes complications are classified as Macro and Microvascular Diseases. Microvascular
complications in type 2 Diabetic patients commonly occur as diabetic retinopathy, diabetic …
complications in type 2 Diabetic patients commonly occur as diabetic retinopathy, diabetic …
Comparative Analysis of Machine Learning and Data Mining based Multi-Models for Diabetes Risk Prediction
The healthcare industry greatly benefits from the use of data mining techniques. Data
volume rises as medical record systems standardize, with much of it going unanalyzed. The …
volume rises as medical record systems standardize, with much of it going unanalyzed. The …